Cloud Engineer

3 weeks ago

Houston, United States Hirestaff.ai Full time

Get AI-powered advice on this job and more exclusive features. Hirestaff.ai is a leading global talent acquisition and staffing solutions provider, specializing in connecting businesses with top-tier professionals across various industries. We pride ourselves on our deep industry expertise, cutting‑edge technology, and personalized approach to recruitment. At Hirestaff.ai, we’re committed to building long-lasting relationships with both clients and candidates, ensuring the perfect match for every role. We foster a collaborative and supportive work environment where our team members are empowered to excel and make a real impact in the world of talent acquisition. About the Client: With a legacy spanning over two decades, our client, established in 2003, has emerged as a dominant force in the global market. They’ve transformed industries and created lasting impact across sectors like Energy, Technology, Finance, and Healthcare. Their reputation is built on pioneering innovation, driving growth, and delivering unparalleled results worldwide. Job Type: Full Time Job Location: Onsite in Houston, will need to travel to other locations. Primary work location: Houston, TX Overview We’re seeking a 10 plus years Azure OpenAI / AI Cloud Engineer with deep experience in deploying, configuring, and managing Azure-based AI and ML services. The ideal candidate will have a strong background in Azure infrastructure, MLOps, and enterprise-grade OpenAI deployments. Key Responsibilities Design, implement, and maintain Azure AI/ML environments Deploy and manage Azure OpenAI services (GPT models, embeddings, etc.) Build and optimize Azure ML pipelines, Cognitive Search, and data integration workflows Ensure environment security, API governance, and cost optimization Collaborate with data science and cloud engineering teams to operationalize AI models Required Skills Strong experience with Azure ML, Azure OpenAI, Cognitive Services, Synapse, and Databricks Expertise in Kubernetes (AKS), Terraform/ARM templates, and CI/CD pipelines Experience managing AI workloads, model deployment, and monitoring performance Knowledge of Python, REST APIs, and Azure DevOps Seniority level: Associate | Employment type: Full‑time | Job function: Information Technology | Industries: Software Development and IT Services and IT Consulting #J-18808-Ljbffr

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